A self-hosted, compounding-memory AI assistant running on a Raspberry Pi.

NanoClaw is a personal AI assistant built on Anthropic's Claude that runs entirely on a Raspberry Pi. It connects to messaging channels (WhatsApp, Telegram, Slack, Discord), processes voice and images, schedules recurring tasks, and — unlike a standard chatbot — accumulates knowledge over time through a structured memory system.

There are multiple options how to install MS Office on Linux.

VM-based - Integrate Windows apps running in a Windows virtual machine as native-looking in Linux

1. LinOffice - Microsoft Office Launcher for Linux, my own fork of Winapps which is focused on only running Microsoft Office, with some Office-specific improvements over Winapps and a fully automated setup. Eventually I would like to create a GUI for it. Decribed below
2. Winapps, based on KVM, QEMU, Docker/Podman and FreeRDP. Still actively maintained (getting Github commits). Decribed below
3. Cassowary, based on KVM, QEMU, libvirt/virt-manager, and FreeRDP. Last release in Feb 2022 and seems to be abandoned.

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Update 2021-04-29: This may still work for you if you've got an old TP-Link router, but this is not maintained and doesn't work with newer models. If you've got a newer router, other projects like tpconf_bin_xml will likely work better for you.

TP-Link allows you to backup and restore your router's config file. For some reason, they decided to encrypt these backups so you cannot modify them. I think this is dumb. This script lets you decrypt and re-encrypt your config files so you can modify them as you see fit.

I use this to modify my reserved addresses list because editing them through the web interface is terribly slow and cumbersome.

1. Go to the router and download the config file from the "Backup & Restore" section of "System Tools".
2. Run ruby tp.rb config.bin

Ultimate resource for extending Claude Code with custom skills, specialized agents, slash commands, and professional utilities

Last Updated: October 28, 2025 | Author: Alireza Rezvani | License: MIT

This is about documenting getting Linux running on the late 2016 and mid 2017 MPB's; the focus is mostly on the MacBookPro13,3 and MacBookPro14,3 (15inch models), but I try to make it relevant and provide information for MacBookPro13,1, MacBookPro13,2, MacBookPro14,1, and MacBookPro14,2 (13inch models) too. I'm currently using Fedora 27, but most the things should be valid for other recent distros even if the details differ. The kernel version is 4.14.x (after latest update).

The state of linux on the MBP (with particular focus on MacBookPro13,2) is also being tracked on https://github.com/Dunedan/mbp-2016-linux . And for Ubuntu users there are a couple tutorials (here and here) focused on that distro and the MacBook.

Note: For those who have followed these instructions ealier, and in particular for those who have had problems with the custom DSDT, modifying the DSDT is not necessary anymore - se

Mirrored from https://raw.githubusercontent.com/Homebrew/homebrew-cask/master/USAGE.md

First ensure you have Homebrew version 0.9.5 or higher:

$ brew --version